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Quanta – A Bitcoin-Based Decentralized Digital Currency

Hacker News

Quanta – A Bitcoin-Based Decentralized Digital Currency

I have been working on a new peer-to-peer electronic cash system called Quanta. It is an open-source cryptocurrency that is identical to Bitcoin in every way except for its name. No central authority Proof-of-work consensus Cryptographically secure transactions The goal is to continue Bitcoin’s legacy with no alterations. The source code will be released soon for anyone interested. Website: quantanetwork.netlify.app Whitepaper: quantanetwork.netlify.app/quanta.pdf Would love to hear thoughts and feedback. — Takeshi Nakamoto

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Actual performance

1points
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, code, open · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, cryptocurrency · Missing: web3, chat, make money
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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